Evidence map›Paper›PMID 42571563›Full record

ArticleISME communications2026

Bacterial community adaptation after brackish and freshwater coalescence.

Xiu Jia, Torsten Schubert, Rick Beeloo, Aristeidis Litos, Swapnil Doijad, Pim G van Helvoort, Theodor Sperlea, Matthias Labrenz, Bas E Dutilh

Abstract read
In one paragraph

Article in ISME communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Xiu JiaInstitute of Biodiversity, Ecology, and Evolution, Faculty of Biological Sciences, Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, 07745, Germany.ORCID https://orcid.org/0000-0003-1129-1942
Torsten SchubertInstitute of Biodiversity, Ecology, and Evolution, Faculty of Biological Sciences, Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, 07745, Germany.ORCID https://orcid.org/0000-0002-6569-1194
Rick BeelooDepartment of Biology, Science4Life, Utrecht University, Padualaan 8, Utrecht, CH 3584, the Netherlands.ORCID https://orcid.org/0009-0004-6984-1294
Aristeidis LitosInstitute of Biodiversity, Ecology, and Evolution, Faculty of Biological Sciences, Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, 07745, Germany.ORCID https://orcid.org/0009-0005-9341-1873
Swapnil DoijadInstitute of Biodiversity, Ecology, and Evolution, Faculty of Biological Sciences, Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, 07745, Germany.ORCID https://orcid.org/0000-0002-0932-8542
Pim G van HelvoortDepartment of Biology, Science4Life, Utrecht University, Padualaan 8, Utrecht, CH 3584, the Netherlands.ORCID https://orcid.org/0009-0003-3024-4065
Theodor SperleaDepartment of Biological Oceanography, Leibniz Institute for Baltic Sea Research Warnemünde, Seestraße 1, Rostock, 18119, Germany.ORCID https://orcid.org/0000-0003-4307-2963
Matthias LabrenzDepartment of Biological Oceanography, Leibniz Institute for Baltic Sea Research Warnemünde, Seestraße 1, Rostock, 18119, Germany.ORCID https://orcid.org/0000-0003-3452-8631
Bas E DutilhInstitute of Biodiversity, Ecology, and Evolution, Faculty of Biological Sciences, Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, 07745, Germany.ORCID https://orcid.org/0000-0003-2329-7890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial community coalescence, the merging of entire microbial communities, is common in estuaries, yet the ecological processes governing community assembly after coalescence remain unclear. To uncover these mechanisms, we conducted controlled microcosm experiments simulating coalescence between freshwater and brackish water bacterial communities across five mixing ratios and incubated them in either freshwater or brackish water. We tracked 40 mixed communities over six passages using Nanopore full-length 16S rRNA gene sequencing. Laboratory incubation reduced diversity and increased taxonomic overlap, but preserved habitat-associated compositional signatures. Coalescence outcomes were asymmetric and strongly shaped by the incubation water. In both environments, coalesced communities remained compositionally closer to the native than to the introduced community. However, the relative influence of environmental filtering differed between habitats. In freshwater, strong filtering drove communities to closely resemble the freshwater source, even when the freshwater inoculum was small. In brackish water, weaker filtering made coalescence outcomes more dependent on initial mixing ratios and propagule pressure. Neutral model analyses confirmed a greater contribution of stochastic processes in brackish water. Co-occurrence network analysis revealed predominantly positive associations within the same source community and fewer but negative associations across sources. These within-source associations may reinforce propagule pressure by facilitating the establishment of co-adapted species. Overall, our results demonstrate that environmental filtering primarily governs coalescence outcomes, modulated by source composition, stochasticity, and species co-adaptation, offering new insights into microbial assembly in dynamic estuarine systems.

Indexed as

community dynamicsenvironmental selectionestuaryOxford Nanopore Technologiestime series

Identifiers

PMID42571563
PMCPMC13452456

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.